A Multi-Band mm-Wave Experimental Platform Towards Environment-Aware Beam Management in the Beyond-5G Era

Agile beam management is key to seamless high-speed mm-wave connectivity in the beyond-5G era, given the site-specific spatio-temporal variations of the mm-wave channel. Leveraging non-RF sensor inputs for environment awareness, e.g. via ML techniques, can greatly enhance RF-based beam management. To address the lack of diverse publicly available multi-modal mm-wave datasets for the design of novel beam management approaches and to enable their real-world, real-time evaluation, we present our SDR-based multi-band mm-wave experimental platform which integrates multi-modal sensors towards environment-aware beam management.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1145/3636534.3697316
Citations
3
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.63
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A Multi-Band mm-Wave Experimental Platform Towards Environment-Aware Beam Management in the Beyond-5G Era

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A Multi-Band mm-Wave Experimental Platform Towards Environment-Aware Beam Management in the Beyond-5G Era

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article en
3 citations

Abstract

Agile beam management is key to seamless high-speed mm-wave connectivity in the beyond-5G era, given the site-specific spatio-temporal variations of the mm-wave channel. Leveraging non-RF sensor inputs for environment awareness, e.g. via ML techniques, can greatly enhance RF-based beam management. To address the lack of diverse publicly available multi-modal mm-wave datasets for the design of novel beam management approaches and to enable their real-world, real-time evaluation, we present our SDR-based multi-band mm-wave experimental platform which integrates multi-modal sensors towards environment-aware beam management.

RWTH Aachen University (DE)
Life in Land
Openalex Percentile: Top 30%
Millimeter-Wave Propagation and Modeling
0.63
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